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Open nowPosted 611 days ago

算法实习生-TikTok内容生态算法

ByteDance19,258 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now算法实习生-TikTok内容生态算法ByteDance · Shanghai, Chinese Mainland
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11.3% of postings close within 7 days. Measured by our own scanner across the market. ByteDance postings stay open a median of 23 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.2%3 days
  3. 11.3%7 days
  4. 17.6%14 days
  5. 34.3%30 days
  6. 43.5%60 days
This job: posted 611 days ago

ByteDance median: 23 days open

The posting

ByteIntern:面向2027届毕业生(2026年9月-2027年8月期间毕业),为符合岗位要求的同学提供转正机会。 团队介绍:TikTok内容生态算法团队立足于平台海量用户和短视频内容,利用多模态、LLM/MLLM、NLP&CV等技术,负责对各类内容做分析、加工、生成等内容层操作,内容形态包括但不限于短视频、图文、全网热点页面、客服对话等,产出内容理解特征、大模型生成中间页、全网热点发现&理解能力以及智能客服系统。 同时在TikTok供给侧提供面向全平台的创作灵感个性化推荐能力。

在这里,有上百个语种,NLP/LLM等技术面临多语种挑战。 在这里,有海量短视频内容,MLLM及多模态技术有更多应用场景。 平台用户量大,各项业务如本地生活、搜索等都处于高速发展期,有大量实际落地和应用场景。

1、负责TikTok的内容生态业务推荐算法工作,和产品、运营等团队紧密合作,深度理解TikTok推荐业务发展,共同制定长短期的业务目标; 2、深入参与到机器学习技术研究中,在解决具体问题的同时形成完整系统的方法论,持续提升用户体验; 3、研究方向包含且不局限于:深度学习、图神经网络、多任务学习、Learning to rank、模型压缩和加速、多模态技术等,善于结合业务的实际问题来做好技术的探索和研究; 4、组织推进组内以及跨部门合作项目,帮助团队的进步和新人成长。

1、2027届本科及以上学历在读,计算机、软件工程等相关专业优先; 2、熟悉LLM/MLLM,有实际大模型调优、应用经验更佳; 3、熟悉Prompt/Sft/Continuous Pretrain/Fine-tuning/蒸馏等优化思路,积极关注最新AI相关技术和论文; 4、计算机语言/视觉等相关领域有较好的理解和应用,包括但不限于:对话系统、视频理解、多模理解等; 5、对自监督、无监督、对比学习等训练方法和理论基础较为熟悉。

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